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Model-Based Glycaemic Control in Multicentre ICUs within Diabetic Patients: In-silico Analysis

Sliding-scale insulin therapy has been vastly used for glycaemic control but dysglycaemia remains high. Model-based glycaemic control that incorporates insulin nutrition protocol was proposed as this therapy provides personalized care to avoid dysglycaemia. Thus, this paper aims to implement in-sili...

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Main Authors: Razak A.A., Razak N., Shah N.N.H., Abu-Samah A., Jamaludin U., Suhaimi F.
Other Authors: 56960052400
Format: Article
Published: Penerbit UTHM 2025
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spelling my.uniten.dspace-369852025-03-03T15:46:21Z Model-Based Glycaemic Control in Multicentre ICUs within Diabetic Patients: In-silico Analysis Razak A.A. Razak N. Shah N.N.H. Abu-Samah A. Jamaludin U. Suhaimi F. 56960052400 37059587300 7401823793 56719596600 55330889600 36247893200 Sliding-scale insulin therapy has been vastly used for glycaemic control but dysglycaemia remains high. Model-based glycaemic control that incorporates insulin nutrition protocol was proposed as this therapy provides personalized care to avoid dysglycaemia. Thus, this paper aims to implement in-silico simulation and identify which model-based control protocols yield better protocol within ICU diabetic patients based on performance and safety. Multicentre ICU patients of 282 were divided into diabetes mellitus (DM) and non-diabetes mellitus (NDM) cohort where in-silico simulations were done using Specialised Relative Insulin Nutrition Therapy (SPRINT), SPRINT+Glargine and Stochastic Targeted (STAR) protocols. Performance was verified based on the percentage of blood glucose (BG) time in band (TIB) 6.0 ? 10.0 mmol/L and safety with number of mild and severe hypoglycaemia episodes. Among the three protocols, STAR protocol showed the highest median and interquartile range % BG TIB 6.0 ? 10.0 mmol/L for DM and NDM patients with 71.6 % [57.9 ? 79.8] and 77.4 % [62.9 ? 88.8]. The number of hypoglycaemia episodes are the lowest in DM and NDM patients too compared to other protocols. These advantages show that STAR protocol can provide better patient outcomes for glycaemic control with personalized care. ? This is an open access article under the CC BY-NC-SA 4.0 license Final 2025-03-03T07:46:21Z 2025-03-03T07:46:21Z 2024 Article 10.30880/ijie.2024.16.03.007 2-s2.0-85195308767 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195308767&doi=10.30880%2fijie.2024.16.03.007&partnerID=40&md5=5f30593aeab2f5a60c4a5a8445af5bc8 https://irepository.uniten.edu.my/handle/123456789/36985 16 3 67 77 Penerbit UTHM Scopus
institution Universiti Tenaga Nasional
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description Sliding-scale insulin therapy has been vastly used for glycaemic control but dysglycaemia remains high. Model-based glycaemic control that incorporates insulin nutrition protocol was proposed as this therapy provides personalized care to avoid dysglycaemia. Thus, this paper aims to implement in-silico simulation and identify which model-based control protocols yield better protocol within ICU diabetic patients based on performance and safety. Multicentre ICU patients of 282 were divided into diabetes mellitus (DM) and non-diabetes mellitus (NDM) cohort where in-silico simulations were done using Specialised Relative Insulin Nutrition Therapy (SPRINT), SPRINT+Glargine and Stochastic Targeted (STAR) protocols. Performance was verified based on the percentage of blood glucose (BG) time in band (TIB) 6.0 ? 10.0 mmol/L and safety with number of mild and severe hypoglycaemia episodes. Among the three protocols, STAR protocol showed the highest median and interquartile range % BG TIB 6.0 ? 10.0 mmol/L for DM and NDM patients with 71.6 % [57.9 ? 79.8] and 77.4 % [62.9 ? 88.8]. The number of hypoglycaemia episodes are the lowest in DM and NDM patients too compared to other protocols. These advantages show that STAR protocol can provide better patient outcomes for glycaemic control with personalized care. ? This is an open access article under the CC BY-NC-SA 4.0 license
author2 56960052400
author_facet 56960052400
Razak A.A.
Razak N.
Shah N.N.H.
Abu-Samah A.
Jamaludin U.
Suhaimi F.
format Article
author Razak A.A.
Razak N.
Shah N.N.H.
Abu-Samah A.
Jamaludin U.
Suhaimi F.
spellingShingle Razak A.A.
Razak N.
Shah N.N.H.
Abu-Samah A.
Jamaludin U.
Suhaimi F.
Model-Based Glycaemic Control in Multicentre ICUs within Diabetic Patients: In-silico Analysis
author_sort Razak A.A.
title Model-Based Glycaemic Control in Multicentre ICUs within Diabetic Patients: In-silico Analysis
title_short Model-Based Glycaemic Control in Multicentre ICUs within Diabetic Patients: In-silico Analysis
title_full Model-Based Glycaemic Control in Multicentre ICUs within Diabetic Patients: In-silico Analysis
title_fullStr Model-Based Glycaemic Control in Multicentre ICUs within Diabetic Patients: In-silico Analysis
title_full_unstemmed Model-Based Glycaemic Control in Multicentre ICUs within Diabetic Patients: In-silico Analysis
title_sort model-based glycaemic control in multicentre icus within diabetic patients: in-silico analysis
publisher Penerbit UTHM
publishDate 2025
_version_ 1825816124688695296
score 13.244413

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